default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCheng Li 0008
Person information
- affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Paul C. Lauterbur Research Center for Biomedical Imaging, China
Other persons with the same name
- Cheng Li — disambiguation page
- Cheng Li 0001
![[0000-0001-7064-6120]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7064-6120")
— University of Science and Technology of China (USTC), China (and 1 more) - Cheng Li 0002 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Clear Water Bay, Hong Kong
- Cheng Li 0003 — Deakin University, Center for Pattern Recognition and Data Analytics (PRaDA), Geelong, Australia
- Cheng Li 0004 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Wireless Communications Technology, China
- Cheng Li 0005 — Memorial University of Newfoundland, Department of Electrical and Computer Engineering, St. John's, NL, Canada
- Cheng Li 0006 — College of William and Mary, Department of Computer Science, Williamsburg, VA, USA
- Cheng Li 0007 — Beihang University, School of Instrumentation Science and Opto-electronics Engineering, Beijing, China
- Cheng Li 0009 — SenseTime Research, Beijing, China (and 1 more)
- Cheng Li 0010 — University of California, Davis, CA, USA (and 1 more)
- Cheng Li 0011 — University of Rochester, Department of Electrical and Computer Engineering, NY, USA (and 1 more)
- Cheng Li 0012 — Google, Mountain View, CA, USA (and 1 more)
- Cheng Li 0013 — University of Kent, UK
- Cheng Li 0014 — University of Illinois Urbana-Champaign, IL, USA
- Cheng Li 0015 — Harbin Institute of Technology, Department of Control Science and Engineering, China (and 1 more)
- Cheng Li 0016 — Peking University, Center For Biolnformatics, Beijing, China (and 3 more)
- Cheng Li 0017 — Xidian University, Institute of Intelligent Control and Image Engineering, Xi'an, China
Other persons with a similar name
- Li Cheng — disambiguation page
- Li-Chen Cheng
- Li-Te Cheng
- Li Cheng 0001 — University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada (and 5 more)
- Cheng-Hsuan Li
- Cheng-Te Li
- Yucheng Li (aka: Yu-Cheng Li) — disambiguation page
- Zhicheng Li (aka: Zhi-Cheng Li) — disambiguation page
- Shuaicheng Li 0001 (aka: Shuai Cheng Li 0001) — City University of Hong Kong, Kowloon, Hong Kong (and 3 more)
- Zhicheng Li 0001 (aka: Zhi-Cheng Li 0001) — Chinese Academy of Sciences, Shenzhen, China
- show all similar names
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j12]Ruoyou Wu, Cheng Li, Juan Zou, Yong Liang, Shanshan Wang:
Model-based federated learning for accurate MR image reconstruction from undersampled k-space data. Comput. Biol. Medicine 180: 108905 (2024)- [j11]Juan Zou, Tingrui Pei, Cheng Li, Ruoyou Wu, Shanshan Wang:
Self-Supervised Federated Learning for Fast MR Imaging. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [c29]Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Hua Han, Pei Dong, Shanshan Wang:
Lesen: Label-Efficient Deep Learning for Multi-Parametric Mri-Based Visual Pathway Segmentation. ISBI 2024: 1-5 - [c28]Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang:
Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques. ISBI 2024: 1-5 - [c27]Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang:
Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning. ISBI 2024: 1-5 - [c26]Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Simultaneous Q-Space Sampling Optimization and Reconstruction for Fast and High-Fidelity Diffusion Magnetic Resonance Imaging. ISBI 2024: 1-4 - [c25]Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Guangming Shi, Hairong Zheng, Qiegen Liu, Shanshan Wang:
Multimodal Self-Supervised Learning for Lesion Localization. ISBI 2024: 1-5 - [c24]Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang:
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. MICCAI (9) 2024: 615-625 - [c23]Ruoyou Wu, Jian Cheng, Cheng Li, Juan Zou, Jing Yang, Wenxin Fan, Yong Liang, Shanshan Wang:
CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-Assisted Implicit Neural Representation Learning. MLMI@MICCAI (1) 2024: 114-123 - [c22]Shoujun Yu, Cheng Li, Yousuf Babiker M. Osman, Shanshan Wang, Hairong Zheng:
Accurate Delineation of Cerebrovascular Structures from TOF-MRA with Connectivity-Reinforced Deep Learning. MLMI@MICCAI (1) 2024: 280-289 - [i37]Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Shanshan Wang:
Multimodal self-supervised learning for lesion localization. CoRR abs/2401.01524 (2024) - [i36]Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Shanshan Wang:
Enhancing the medical foundation model with multi-scale and cross-modality feature learning. CoRR abs/2401.01583 (2024) - [i35]Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Shanshan Wang:
MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning. CoRR abs/2401.01591 (2024) - [i34]Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Hua Han, Shanshan Wang:
LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation. CoRR abs/2401.01654 (2024) - [i33]Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Shanshan Wang:
Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging. CoRR abs/2401.01662 (2024) - [i32]Hua Han, Cheng Li, Lei Xie, Yuanjing Feng, Alou Diakite, Shanshan Wang:
Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation. CoRR abs/2401.01685 (2024) - [i31]Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Qiegen Liu, Shanshan Wang:
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning. CoRR abs/2401.01693 (2024) - [i30]Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Shanshan Wang:
Generalizable vision-language pre-training for annotation-free pathology localization. CoRR abs/2401.02044 (2024) - [i29]Cheng Li, Weijian Huang, Hao Yang, Jiarun Liu, Shanshan Wang:
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement. CoRR abs/2401.11421 (2024) - [i28]Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Zan Chen, Yuanjing Feng, Hairong Zheng, Shanshan Wang:
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging. CoRR abs/2405.03159 (2024) - [i27]Taohui Xiao, Jian Cheng, Wenxin Fan, Jing Yang, Cheng Li, Enqing Dong, Shanshan Wang:
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation. CoRR abs/2408.01944 (2024) - [i26]Wenxin Fan, Jian Cheng, Cheng Li, Jing Yang, Ruoyou Wu, Juan Zou, Shanshan Wang:
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-preserving Model-based Deep Learning. CoRR abs/2408.10236 (2024) - 2023
- [j10]Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Yusong Lin, Shanshan Wang:
Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading. Biomed. Signal Process. Control. 85: 104876 (2023) - [j9]Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Ziyao Zhang, Qiegen Liu, Yan Xi, Hairong Zheng:
PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2659-2670 (2023) - [c21]Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang:
Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans. ISBI 2023: 1-4 - [c20]Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang:
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation. ISBI 2023: 1-4 - [c19]Xue Liu, Juan Zou, Tao Sun, Ruoyou Wu, Xiawu Zheng, Cheng Li, Shanshan Wang:
Iterative Data Refinement for Self-Supervised Learning MR Image Reconstruction. ISBI 2023: 1-4 - [c18]Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Leslie Ying, Hairong Zheng, Shanshan Wang:
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. ISBI 2023: 1-4 - [c17]Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang:
Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI. ISBI 2023: 1-4 - [c16]Ruoyou Wu, Cheng Li, Juan Zou, Shanshan Wang:
FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 347-356 - [i25]Weijian Huang, Hao Yang, Cheng Li, Mingtong Dai, Rui Yang, Shanshan Wang:
MGA: Medical generalist agent through text-guided knowledge transformation. CoRR abs/2303.08562 (2023) - [i24]Hao Yang, Weijian Huang, Jiarun Liu, Cheng Li, Shanshan Wang:
Few-shot Class-incremental Learning for Cross-domain Disease Classification. CoRR abs/2304.05734 (2023) - [i23]Weijian Huang, Cheng Li, Hao Yang, Jiarun Liu, Shanshan Wang:
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning. CoRR abs/2309.05904 (2023) - [i22]Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Shanshan Wang:
Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation. CoRR abs/2312.10978 (2023) - 2022
- [j8]Zhenzhen Xue, Cheng Li, Zhuo-Ming Luo, Shan-Shan Wang, Ying-Ying Xu:
Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers. BMC Bioinform. 23(1): 470 (2022) - [j7]Diping Song, Fei Li, Cheng Li, Jian Xiong, Junjun He, Xiulan Zhang, Yu Qiao:
Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosis. Comput. Biol. Medicine 151(Part): 106283 (2022) - [c15]Weijian Huang, Cheng Li, Wenxin Fan, Ziyao Zhang, Tong Zhang, Yongjin Zhou, Qiegen Liu, Shanshan Wang:
Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction. MLMIR@MICCAI 2022: 3-13 - [c14]Yeqi Wang, Cheng Li, Yusong Lin:
Human Knowledge-Guided and Task-Augmented Deep Learning for Glioma Grading. PRCV (2) 2022: 567-575 - [i21]Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Hairong Zheng, Yusong Lin, Shanshan Wang:
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading. CoRR abs/2201.02746 (2022) - [i20]Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Hairong Zheng:
PARCEL: Physics-based unsupervised contrastive representation learning for parallel MR imaging. CoRR abs/2202.01494 (2022) - [i19]Weijian Huang, Cheng Li, Wenxin Fan, Yongjin Zhou, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Rethinking the optimization process for self-supervised model-driven MRI reconstruction. CoRR abs/2203.09724 (2022) - [i18]Juan Zou, Cheng Li, Sen Jia, Ruoyou Wu, Tingrui Pei, Hairong Zheng, Shanshan Wang:
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging. CoRR abs/2208.03904 (2022) - [i17]Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang:
Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI. CoRR abs/2211.07966 (2022) - [i16]Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang:
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans. CoRR abs/2211.07993 (2022) - [i15]Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang:
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation. CoRR abs/2211.08783 (2022) - [i14]Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Zhenzhen Xue, Hairong Zheng, Shanshan Wang:
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. CoRR abs/2211.08840 (2022) - [i13]Xue Liu, Juan Zou, Xiawu Zheng, Cheng Li, Hairong Zheng, Shanshan Wang:
Iterative Data Refinement for Self-Supervised MR Image Reconstruction. CoRR abs/2211.13440 (2022) - 2021
- [j6]Junjun He, Cheng Li, Jin Ye, Yu Qiao, Lixu Gu:
Multi-label ocular disease classification with a dense correlation deep neural network. Biomed. Signal Process. Control. 63: 102167 (2021) - [j5]Junjun He, Cheng Li, Jin Ye, Yu Qiao, Lixu Gu:
Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification. Biomed. Signal Process. Control. 67: 102491 (2021) - [j4]Cheng Li, Jingxu Xu, Qiegen Liu, Yongjin Zhou, Lisha Mou, Zuhui Pu, Yong Xia, Hairong Zheng, Shanshan Wang:
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1003-1013 (2021) - [j3]Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang:
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint. IEEE Trans. Medical Imaging 40(10): 2589-2599 (2021) - [c13]Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Lixu Gu, Yu Qiao:
Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation. ISBI 2021: 571-574 - [c12]Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao:
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. MICCAI (3) 2021: 48-58 - [c11]Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. MICCAI (6) 2021: 382-391 - [c10]Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao:
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. MICCAI (1) 2021: 569-578 - [i12]Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. CoRR abs/2109.12502 (2021) - [i11]Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao:
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. CoRR abs/2109.12629 (2021) - [i10]Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao:
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. CoRR abs/2109.12634 (2021) - [i9]Longfei Li, Rui Yang, Xin Chen, Cheng Li, Hairong Zheng, Yusong Lin, Zaiyi Liu, Shanshan Wang:
Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study. CoRR abs/2112.13686 (2021) - 2020
- [c9]Zhenkun Peng, Jiaxin Li, Cheng Li, Lan Zhang, Hairong Zheng, Shanshan Wang:
A Deep Residual Sparse and Cross Domain Reconstruction Network for Dynamic MR Imaging. ICCPR 2020: 350-355 - [c8]Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Yu Qiao, Lixu Gu:
Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs. ISBI 2020: 1-4 - [c7]Junjun He, Cheng Li, Jin Ye, Shanshan Wang, Yu Qiao, Lixu Gu:
Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion. ISBI 2020: 1258-1261 - [c6]Haoyun Liang, Yu Gong, Hoel Kervadec, Cheng Li, Jing Yuan, Xin Liu, Hairong Zheng, Shanshan Wang:
Laplacian pyramid-based complex neural network learning for fast MR imaging. MIDL 2020: 454-464 - [i8]Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang:
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint. CoRR abs/2008.01896 (2020) - [i7]Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang:
AIDE: Annotation-efficient deep learning for automatic medical image segmentation. CoRR abs/2012.04885 (2020)
2010 – 2019
- 2019
- [j2]Zhengkun Yi, Cheng Li:
Anti-Drift in Electronic Nose via Dimensionality Reduction: A Discriminative Subspace Projection Approach. IEEE Access 7: 170087-170095 (2019) - [c5]Taohui Xiao, Wenqing Hua, Cheng Li, Shanshan Wang:
Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features. ISICDM 2019: 208-213 - [c4]Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang:
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. MICCAI (3) 2019: 30-38 - [c3]Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. MICCAI (2) 2019: 57-65 - [c2]Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang:
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. MICCAI (3) 2019: 247-255 - [c1]Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. MICCAI (3) 2019: 266-274 - [i6]Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang:
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies. CoRR abs/1907.07000 (2019) - [i5]Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. CoRR abs/1907.07008 (2019) - [i4]Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. CoRR abs/1908.01997 (2019) - [i3]Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang:
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. CoRR abs/1908.02054 (2019) - 2018
- [j1]Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification. IEEE Trans. Biomed. Eng. 65(9): 1935-1942 (2018) - [i2]Jingxu Xu, Cheng Li, Yongjin Zhou, Lisha Mou, Hairong Zheng, Shanshan Wang:
Classifying Mammographic Breast Density by Residual Learning. CoRR abs/1809.10241 (2018) - [i1]Hui Sun, Cheng Li, Boqiang Liu, Shanshan Wang:
AUNet: Breast Mass Segmentation of Whole Mammograms. CoRR abs/1810.10151 (2018)
Coauthor Index
[j12] [j11] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [j10] [j9] [c21] [c20] [c19] [c18] [c17] [c16] [i25] [i24] [i23] [i22] [j8] [c15] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [j4] [j3] [c13] [c12] [c11] [c10] [i12] [i11] [i10] [i9] [c9] [c8] [c7] [c6] [i8] [i7] [c5] [c4] [c3] [c2] [c1] [i6] [i5] [i4] [i3] [j1] [i2] [i1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-30 00:17 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
